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Report to Simulation Meeting

20 May, 2004Akiya Miyamoto, KEK

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Jupiter Features:

Modular structure for easy update, install/uninstall of sub-detectors Powerful base classes that provide unified interface to

facilitate easy (un)installation of components by methods such as InstallIn, Assemble, Cabling

Help implementation of detailed hierarchiral structures.This helps to save memory size.

Minimize user-written source code by– Automatic naming system & material management– B-field compositions for accelerators

Input 　 : HEPEVT, CAIN (ASCII) or generators in JSF. Output

– Output class allows extrnal methods. Using this mechanism, it can output ASCII flat file and JSF/ROOT fie.

Core developper: K.Hoshina and K.Fujii

: Geant4 based Full Detector Simulator

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Standard Geometry of Jupiter

Super Conducting Solenoid(SOL)

Calorimeter(HCAL)

Calorimeter(ECAL)

Central Tracker(CDC)

Intermediate Tracker(IT)

Vertex Detector(VTX)

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Detector geometries in Jupiter

0cm 45cm 155cm

VTX detector

IT

CDCIndividual drift cells and wiresAxial and stereo geometry

VTX sensor

Geometry parameterssuch as #layers, #pixels,….controled by a ParameterList class for easy modification

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Crossing 3mrad

QC1

QC2VTX

CDC

QC1

VTX

Detector ModelModel d) L*=4.3 m 3T (Solenoid)

T.Aso

Beam Delivery System

for Beam BG Study

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Sample events by Jupiter

0 0e e Z H event

s 350GeV

Beam Background SimulatedBy Jupiter

Event source : CAIN

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Jupiter and JSFJ4

JSFJ4 is a Jupiter-JSF interface

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Jupiter Commponents

Jupiter

1)Framework 1-1)LCIO 1-2)Geometry Management

2)Component (Red letter was established component) 2-1)IR 2-2)VTX 2-3)CT <- Jet (TPC) 2-4)IT+FT 2-5)Cal <- Spherical model (Tower/2parts, Tile?) More realistic model (Tile, Strip) Digital model 2-6)Mag(Simple Solenoid) 2-7)Muon+Return Yoke

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For Jet mass reconstruction

Following packages are required for jet mass reconstruction Track reconstruction

Central Tracker track finder and fitter Link Central Tracker and IT/VTX for refitting Track extrapolation to CAL

Cal reconstruction Two algorithm

– (a) Cal clustering EM clustering -> EMC-Track Match -> e/gamma ID -> mu-ID -> HD clustering -> HDC-Track Match -> Neutral

Particle – (b) Track based clustering

Remove Charged track energy from cell -> muID -> EM Clustering -> HD Clustering

Jet Clustering Vertexing and heavy quark tagger

Develop them in parallel, not serially

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Study items and works to do

Implement CAL geometries Spherical, cylindrical, realistic with tilt and gaps For spherical,

5x5mm2, Pb 8mm, Sci. 2mm or Pb 4mm, Sci 1mm (?) Single particle performances

Linearity, resolution, lateral/longitudinal spread Caliburation and optimum cut values How strongly these performances depend on geometries

Two-particle or jet performance Develop clustering algorithm Study electron/gamma ID performance Study pi+/n ID performance Study dependences on detector geometry and parameters

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Study items - 2

Jet reconstruction Masses of W, Z, H, T …. Which process ?

ee-> ZH->nnH @ 250GeV or WW->enW @500GeV or ee-> ZZ->nnqq @ 500 or 1000 GeV Energy and direction of jets

Background rejection Off timing mini-jet tracks Muon from upstream